Instructions to use ufdatastudio/vit-pose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ufdatastudio/vit-pose with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ufdatastudio/vit-pose") model = AutoModelForImageClassification.from_pretrained("ufdatastudio/vit-pose", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Added Model card for the pose model using details from the paper.
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